import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
				from transformers import AutoModelForSeqaSeqLM, AutoTokenizer





@require_torch
@require_sentencepiece
@require_tokenizers
class     lowerCAmelCase__     (				unittest.TestCase			):


		'''simple docstring'''






		@slow
		def   _snake_case       (       self     :     Optional[int]		)      ->	Tuple:
				_lowerCamelCase				   =  AutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'     ,  return_dict=snake_case__		).to(snake_case__		)
				_lowerCamelCase				   =  AutoTokenizer.from_pretrained('google/mt5-small'		)

				_lowerCamelCase				   =  tokenizer('Hello there'     ,  return_tensors='pt'		).input_ids
				_lowerCamelCase				   =  tokenizer('Hi I am'     ,  return_tensors='pt'		).input_ids

				_lowerCamelCase				   =  model(input_ids.to(snake_case__		)     ,  labels=labels.to(snake_case__		)		).loss
				_lowerCamelCase				   =  -(labels.shape[-1] * loss.item())

				_lowerCamelCase				   =  -84.9127
				self.assertTrue(abs(mtf_score - EXPECTED_SCORE		) < 1e-4		)
import functools
from typing import Any


def 	lowerCamelCase					(	UpperCamelCase     :				str			,       UpperCamelCase     :				list[str]							)   ->    bool:

		# Validation
		if not isinstance(UpperCamelCase			,       UpperCamelCase							) or len(UpperCamelCase							) == 0:
				raise ValueError('the string should be not empty string'							)

		if not isinstance(UpperCamelCase			,       UpperCamelCase							) or not all(
		    isinstance(UpperCamelCase			,       UpperCamelCase							) and len(UpperCamelCase							) > 0 for item in words							):
				raise ValueError('the words should be a list of non-empty strings'							)

		# Build trie
		_lowerCamelCase				   =  {}
		_lowerCamelCase				   =  'WORD_KEEPER'

		for word in words:
				_lowerCamelCase				   =  trie
				for c in word:
						if c not in trie_node:
								_lowerCamelCase				   =  {}

						_lowerCamelCase				   =  trie_node[c]

				_lowerCamelCase				   =  True

		_lowerCamelCase				   =  len(UpperCamelCase							)

		# Dynamic programming method
		@functools.cache
		def is_breakable(UpperCamelCase     :				int							) -> bool:
				if index == len_string:
						return True

				_lowerCamelCase				   =  trie
				for i in range(UpperCamelCase			,       UpperCamelCase							):
						_lowerCamelCase				   =  trie_node.get(string[i]			,       UpperCamelCase							)

						if trie_node is None:
								return False

						if trie_node.get(UpperCamelCase			,       UpperCamelCase							) and is_breakable(i + 1							):
								return True

				return False

		return is_breakable(0							)


if __name__ == "__main__":
				import doctest

				doctest.testmod()